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# SRE AWS Devops

- **Company:** Siri InfoSolutions Inc
- **Location:** Malvern, PA, United States
- **Experience:** Expert
- **Salary:** $114,400.0 - $120,640.0
- **Contract:** Temporary to permanent
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, JIRA, Bash Shell, Continuous Delivery, DevOps, Amazon DynamoDB, Github, Monitoring of Systems, Identity and Access Management, Python (Programming Language), Performance Tuning, Windows PowerShell, Scrum Methodology, Reliability Engineering, Cloud Services, Ansible, Prometheus, SQL Databases, Datadog, Scripting, Delivery Pipeline, Large Language Models, Grafana, Infrastructure as Code (IaC), Amazon Virtual Private Cloud (VPC), AWS ECS, Cloudformation, Gitlab-ci, Kubernetes, Infrastructure Automation Frameworks, Performance Monitor, AWS Data Analytics, Machine Learning Operations, Functional Programming, Cloudwatch, Terraform, Devsecops, Docker, Elk Stack, Jenkins, Amazon Redshift, Vulnerability Analysis
- **Published:** August 21, 2026
- **Apply:** https://www.careerjet.com/jobad/us60529aa823195d18c460a7657219a397

## About the Role

SRE Lead with 8+ years of experience in building and managing scalable, secure, and highly available AWS cloud platforms leveraging DevOps, Kubernetes, and Infrastructure-as-Code practices.

 * Experienced in implementing CI/CD pipelines, driving SRE best practices, and ensuring platform reliability through proactive monitoring, incident management, and performance optimization using CloudWatch, Prometheus, Grafana, and Arize.
 * Strong collaborator with engineering, data, and ML teams, enabling MLOps, AI model observability, drift detection, and reliable deployment of production-grade AI/GenAI solutions.

Generic Managerial Skills, If any

 * Strong leadership and stakeholder management skills, with experience leading cross-functional teams and driving delivery excellence.
 * Effective communication with business and technical stakeholders., Role Name - AWS Data Engineer (6-8 Years Expereince) ROLE_DESCRIPTION - Design and develop scalable, cloud-native data solutions using AWS ECS, Glue, Lambda, S3, DynamoDB, and …
 + 1 day ago

## Description

For an SRE / AWS DevOps Engineer with Arize Observability, the candidate should have knowledge on AWS Cloud, DevOps, Reliability Engineering, Monitoring, MLOps, and AI Observability.

 * AWS Cloud Services EC2, EKS, ECS, Lambda, S3, RDS, Redshift, CloudWatch, IAM, VPC.
 * Infrastructure as Code (IaC) Terraform, AWS CloudFormation, Ansible.
 * CI/CD Automation Jenkins, GitHub Actions, GitLab CI/CD, AWS CodePipeline.
 * Containerization & Orchestration Docker, Kubernetes (EKS), Helm.
 * Site Reliability Engineering (SRE) SLI/SLO/SLA management, incident response, root cause analysis (RCA), reliability engineering.
 * Monitoring & Observability Arize AI, Prometheus, Grafana, Datadog, ELK Stack, OpenTelemetry, CloudWatch.
 * MLOps & AI Observability Arize platform, model monitoring, drift detection, model performance tracking, data quality monitoring, LLM observability.
 * Programming & Scripting Python, Bash, PowerShell, SQL.
 * Security & DevSecOps IAM, Secrets Manager, AWS Security Hub, vulnerability scanning, policy enforcement.
 * Collaboration & Agile Delivery Scrum, Jira, stakeholder communication, cross-functional incident management, technical documentation.


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